Pfizer
TesTex NDT India Interview Questions and Answers
Q1. What is confusion matrix, roc, auc
Confusion matrix is a table used to describe the performance of a classification model. ROC curve is a graphical representation of the true positive rate against the false positive rate. AUC is the area under the ROC curve.
Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.
ROC curve is a plot of the true positive rate (sensitivity) against the false positive rate (1-specificity) at v...read more
Q2. How many data science projects,
I have led and been involved in over 10 data science projects in various industries.
Led and managed over 10 data science projects from inception to completion
Collaborated with cross-functional teams to deliver impactful solutions
Utilized advanced analytics and machine learning techniques to drive business insights
Examples: Predictive maintenance for manufacturing, customer segmentation for retail
Q3. Conflict resolution in day to day tasks
Conflict resolution in day to day tasks
Active listening and effective communication are key in resolving conflicts
Identify the root cause of the conflict and address it directly
Collaborate with all parties involved to find a mutually beneficial solution
Maintain professionalism and remain calm during conflict resolution
Document the conflict resolution process for future reference
Q4. Strength of evidence in clinical trials
The strength of evidence in clinical trials is determined by various factors.
The strength of evidence in clinical trials depends on the study design and methodology.
Randomized controlled trials (RCTs) are considered to provide the strongest evidence.
Large sample sizes and long follow-up periods enhance the strength of evidence.
Blinding and placebo control help minimize bias and increase the reliability of results.
Meta-analyses and systematic reviews of multiple trials can pro...read more
Q5. Clinical trials types and details
Clinical trials are research studies that test the safety and effectiveness of new medical treatments or interventions.
Clinical trials are conducted to gather data on the safety and efficacy of new drugs, medical devices, or treatment methods.
There are several types of clinical trials, including phase 1, phase 2, phase 3, and phase 4 trials.
Phase 1 trials involve a small number of healthy volunteers and focus on determining the safety and dosage of a new treatment.
Phase 2 tri...read more
Q6. Real world evidence
Real world evidence refers to data collected outside of clinical trials to evaluate the safety and effectiveness of medical interventions.
Real world evidence is collected from sources such as electronic health records, claims databases, and patient registries.
It provides insights into how treatments work in real-world settings and can help inform clinical decision-making.
Examples of real world evidence include studies that analyze the effectiveness of a drug in a large popula...read more
Q7. clustering techniques
Q8. ml algos description
Machine learning algorithms are mathematical models used to analyze data and make predictions.
ML algorithms learn from data to make predictions or decisions
They can be supervised, unsupervised, or semi-supervised
Examples include linear regression, decision trees, support vector machines
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